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Straude

Strava for Claude Code, the global tokenmaxxing Leaderboard

You spin up dozens of agents and spend thousands on tokens, but have no way to track or share the journey. One command logs your spend, streaks, and stats. Compare your pace to the top AI builders worldwide. Code like an athlete.

Top comment

Hey PH! 👋 @markmdev and I made Straude.

The NYTimes recently covered the "tokenmaxxing" trend sweeping across Silicon Valley — the idea that AI token consumption is becoming the new status metric for AI-native builders. Companies like Meta, OpenAI, and Shopify are tracking it on internal dashboards. Jensen Huang proposed giving engineers a token budget as high as 50% of their salary.

At the same time, I found the experience of agentic coding gets pretty isolating. You spin up dozens of agents and spend thousands on tokens, but have no way to track, compare, or share the journey. And since there’s no “town hall” where AI builders gather, you can’t easily learn from how the best builders are pushing these tools to their limits.

Straude fixes that:

  • One command `npx straude` logs your Claude Code or Codex sessions: tokens consumed, spend, models used. Support for other agents coming soon.

  • Compete on a global leaderboard, build your streak, and get inspired by what the top 1% of AI builders are pushing daily.

  • Privacy-first: only aggregate stats leave your machine, no code or session history.

  • Zero install, zero config.

How it works:

  1. Sign up at straude.com

  2. Run `npx straude` at the end of a Claude Code / Codex session

  3. Your stats sync to the feed and leaderboard automatically

It's completely free. The project is open source on GitHub.

Strava made lonely sport (running) social and fun. Straude does the same for agentic engineering. You wouldn't train for a marathon without logging your miles. Why would you burn through tokens without tracking on Straude?

We'd love for you to sign up, log your first session, and share Straude with the friend you know who burns the most tokens 🔥

Would love your feedback — what features would you want to see next?